Package: MCMC4Extremes 1.1
Fernando Ferraz do Nascimento
MCMC4Extremes: Posterior Distribution of Extreme Value Models in R
Provides some function to perform posterior estimation for some distribution, with emphasis to extreme value distributions. It contains some extreme datasets, and functions that perform the runs of posterior points of the GPD and GEV distribution. The package calculate some important extreme measures like return level for each t periods of time, and some plots as the predictive distribution, and return level plots.
Authors:
MCMC4Extremes_1.1.tar.gz
MCMC4Extremes_1.1.tar.gz(r-4.5-noble)MCMC4Extremes_1.1.tar.gz(r-4.4-noble)
MCMC4Extremes_1.1.tgz(r-4.4-emscripten)MCMC4Extremes_1.1.tgz(r-4.3-emscripten)
MCMC4Extremes.pdf |MCMC4Extremes.html✨
MCMC4Extremes/json (API)
# Install 'MCMC4Extremes' in R: |
install.packages('MCMC4Extremes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:f4ac4f621d. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-linux | OK | Nov 02 2024 |
Exports:dggevgammapgevpggevpgpdpgumbelpnormalppggevplot.gevpplot.ggevpplot.gpdpplot.gumbelpplot.normalpqggevrggevsummary.gevpsummary.ggevpsummary.gpdpsummary.gumbelp
Dependencies:evir